Agent skill · Frontend

ai-animation-skill

将科普内容文本转换为可视化PPT风格网页的完整工作流。当用户输入科普内容并希望生成演示页面时触发。支持两种模式:(1) 默认模式:将科普内容生成为仿PPT轮播的单页HTML动画网页;(2) 流程图模式:使用Animation模板将已生成的AI_Animation.html按平面UI样式重构。模板已内置于Skill中。触发词包括"生成PPT"、"生成演示网页"、"生成流程图"等。

mingchen666157★ · +54/wk · 1 repos on radarProfile →
claude-code
Install
npx skills add mingchen666/Reviva --skill ai-animation-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 49
SKILL.md size: 6 KB
Bundled scripts: none
Path: electron/builtin-assets/skills/ai-animation-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 181 · +24 this week
Language: HTML
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Science Content PPT Skill 将科普内容文本转换为可视化PPT风格网页的完整工作流。 --- ## 真实案例(OSI 七层网络模型) **用户输入文本:** > 为了使不同计算机厂家生产的计算机能够相互通信,以便在更大的范围内建立计算机网络,国际标准化组织(ISO)在1978年提出了"开放系统互联参考模型"……七层自下而上依次为:物理层、数据链路层、网络层、传输层、会话层、表示层、应用层。其中第四层完成数据传送服务,上面三层面向用户。除了标准的OSI七层模型以外,常见的网络层次划分还有TCP/IP四层协议以及TCP/IP五层协议。 **执行流程:** 1. 用下方「Step 1 提示词模板」生成 PPT 提示词 2. 模型直接生成完整 HTML(或用 Step 3 模板重构) 3. 用户说"生成流程图"时,用模式二将内容转为平面 UI 风格 **输出结果:** -

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About this skill
What does the ai-animation-skill skill do?

将科普内容文本转换为可视化PPT风格网页的完整工作流。当用户输入科普内容并希望生成演示页面时触发。支持两种模式:(1) 默认模式:将科普内容生成为仿PPT轮播的单页HTML动画网页;(2) 流程图模式:使用Animation模板将已生成的AI_Animation.html按平面UI样式重构。模板已内置于Skill中。触发词包括"生成PPT"、"生成演示网页"、"生成流程图"等。

How do I install it?

Run `npx skills add mingchen666/Reviva --skill ai-animation-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mingchen666/Reviva, a repository with 181 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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